{"instruction": "You are an expert in event extraction. Please extract events from the input that conform to the schema definition. Return an empty list for events that do not exist, and return NAN for arguments that do not exist. If an argument has multiple values, please return a list. Respond in the format of a JSON string.", "schema": [{"event_type": "data breach", "trigger": true, "arguments": ["compromised data", "attacker", "purpose", "damage amount", "number of victim", "tool", "victim", "time"]}, {"event_type": "ransom", "trigger": true, "arguments": ["payment method", "place", "damage amount", "tool", "victim", "attacker", "price", "attack pattern"]}, {"event_type": "discover vulnerability", "trigger": true, "arguments": ["vulnerability", "supported platform", "vulnerable system version", "discoverer", "vulnerable system owner"]}, {"event_type": "patch vulnerability", "trigger": true, "arguments": ["common vulnerabilities and exposures", "patch", "patch number", "vulnerable system", "supported platform", "issues addressed", "releaser", "vulnerability"]}, {"event_type": "phishing", "trigger": true, "arguments": ["trusted entity", "purpose", "tool", "victim", "place", "damage amount", "attack pattern", "attacker", "time"]}], "input": "Luno says it 's been alerted to the fake emails bearing its name ."}
{"data breach": [], "ransom": [], "discover vulnerability": [], "patch vulnerability": [], "phishing": [{"trigger": "bearing", "arguments": {"trusted entity": ["its name", "Luno"], "purpose": "NAN", "tool": "the fake emails", "victim": "NAN", "place": "NAN", "damage amount": "NAN", "attack pattern": "NAN", "attacker": "NAN", "time": "NAN"}}]}